本文關(guān)鍵詞： 缺陷汽車產(chǎn)品 召回管理 預(yù)警系統(tǒng) 指標(biāo)體系 因子分析法 灰色預(yù)測法　出處：《長安大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來中國經(jīng)濟(jì)迅猛發(fā)展，帶動各行各業(yè)尤其是汽車產(chǎn)業(yè)飛速發(fā)展，但汽車質(zhì)量管理還缺乏核心競爭力，導(dǎo)致汽車召回現(xiàn)象呈現(xiàn)級數(shù)增長趨勢；而缺陷汽車產(chǎn)品召回管理是提高企業(yè)核心競爭力和經(jīng)濟(jì)效益的關(guān)鍵因素。研究如何有效評估缺陷汽車召回管理預(yù)警體系并制定出切實(shí)可行的事前召回對策具有重要的理論和實(shí)際意義。 在對國內(nèi)外缺陷汽車產(chǎn)品召回管理預(yù)警體系相關(guān)理論研究的基礎(chǔ)上，分析缺陷產(chǎn)品召回管理影響因素；結(jié)合我國召回管理特點(diǎn)及其指標(biāo)體系構(gòu)建原則，初步建立缺陷汽車召回管理預(yù)警指標(biāo)體系有4個一級指標(biāo)及對應(yīng)的22個二級指標(biāo)；設(shè)計(jì)調(diào)查問卷，運(yùn)用SPSS18.0軟件中的因子分析法分析調(diào)研數(shù)據(jù)，最終確定缺陷汽車召回管理預(yù)警評價指標(biāo)體系有4個一級指標(biāo)并對應(yīng)9個二級指標(biāo)，4個一級指標(biāo)由安全因素、社會因素、公眾認(rèn)知因素和消費(fèi)者相關(guān)因素構(gòu)成，，9個二級指標(biāo)為材料因素、產(chǎn)品對消費(fèi)者的危害程度影響、抽檢合格率、結(jié)構(gòu)因素、警示性因素、消費(fèi)者對產(chǎn)品的滿意度因素、現(xiàn)存行業(yè)標(biāo)準(zhǔn)因素、產(chǎn)品返修率因素、銷售量。借助MATLAB軟件，采用灰色預(yù)測理想點(diǎn)逼近法確定各指標(biāo)與正負(fù)理想點(diǎn)的灰關(guān)聯(lián)度和相對貼近度，判斷預(yù)警狀態(tài)并提出改進(jìn)建議。實(shí)例驗(yàn)證表明，所建模型能使企業(yè)及時決策是否實(shí)施召回而避免或緩解給企業(yè)帶來巨大損失，使企業(yè)召回預(yù)警管理更加完善，同時提高企業(yè)的競爭力和經(jīng)濟(jì)效益。
[Abstract]:In recent years, the rapid development of China's economy has led to the rapid development of various industries, especially the automobile industry, but the lack of core competitiveness of automobile quality management has led to the phenomenon of automobile recall showing a progressive growth trend. The recall management of defective automobile products is the key factor to improve the core competitiveness and economic benefit of enterprises. It is very important to study how to effectively evaluate the early warning system of defective automobile recall management and formulate feasible prior recall countermeasures. The theoretical and practical significance. On the basis of the theoretical research on the recall management early warning system of defective automobile products at home and abroad, this paper analyzes the influencing factors of the recall management of defective products, and combines the characteristics of recall management in China and the construction principles of its index system. There are 4 primary indexes and 22 secondary indexes in the early warning index system of defective automobile recall management, the questionnaire is designed and the investigation data are analyzed by factor analysis method in SPSS18.0 software. Finally, it is determined that the early warning evaluation index system of defective automobile recall management has four first-grade indexes and corresponding nine second-class indexes, four first-grade indicators are composed of safety factors, social factors, and so on. The composition of public cognition factors and consumer related factors, 9 secondary indicators are material factors, the harm degree of products to consumers, the qualified rate of spot check, structural factors, warning factors, consumer satisfaction factors, With the help of MATLAB software, the grey prediction ideal point approximation method is used to determine the grey correlation degree and relative closeness between each index and positive or negative ideal point. The example shows that the model can make the enterprise decide whether to implement recall in time and avoid or alleviate the huge loss to the enterprise, and make the enterprise recall warning management more perfect. At the same time, improve the competitiveness of enterprises and economic benefits.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.471;F252;F713.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 鄭繼虎;王彥茹;;從汽車召回問題看企業(yè)質(zhì)量預(yù)警信息渠道[J];汽車工業(yè)研究;2011年11期

2 宋林飛;中國社會風(fēng)險預(yù)警系統(tǒng)的設(shè)計(jì)與運(yùn)行[J];東南大學(xué)學(xué)報(bào)(社會科學(xué)版);1999年01期

3 阮平南,王塑源;企業(yè)經(jīng)營風(fēng)險及預(yù)警研究[J];決策借鑒;1999年03期

4 陳勇;黃席樾;楊尚罡;;汽車防撞預(yù)警系統(tǒng)的研究與發(fā)展[J];計(jì)算機(jī)仿真;2006年12期

5 謝科范;;汽車市場的預(yù)警系統(tǒng)設(shè)計(jì)[J];汽車與配件;1992年04期

6 鄭國輝;;召回缺陷汽車產(chǎn)品的法律制度探析[J];商場現(xiàn)代化;2008年09期

7 馬琳,王澤蓉,梁晚益;著力構(gòu)建我國食品安全事故預(yù)防、預(yù)警及應(yīng)急處置機(jī)制[J];中國食品藥品監(jiān)管;2005年06期

8 ;Data Processing Model of Coalmine Gas Early-Warning System[J];Journal of China University of Mining & Technology;2007年01期

9 張蕾;;對缺陷汽車產(chǎn)品召回制度的研究與思考[J];重型汽車;2010年01期

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